Yi Xiong
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DTI-CDF: a cascade deep forest model towards the prediction of drug-target interactions based on hybrid features
Y Chu, AC Kaushik, X Wang, W Wang, Y Zhang, X Shan, DR Salahub, ...
Briefings in Bioinformatics 22 (1), 451-462, 2021
GOLabeler: improving sequence-based large-scale protein function prediction by learning to rank
R You, Z Zhang, Y Xiong, F Sun, H Mamitsuka, S Zhu
Bioinformatics 34 (14), 2465-2473, 2018
PredT4SE-stack: prediction of bacterial type IV secreted effectors from protein sequences using a stacked ensemble method
Y Xiong, Q Wang, J Yang, X Zhu, DQ Wei
Frontiers in Microbiology 9, 2571, 2018
Prediction of conformational B-cell epitopes from 3D structures by random forest with a distance-based feature
W Zhang, Y Xiong, M Zhao, H Zou, X Ye, J Liu
BMC bioinformatics 12 (1), 341, 2011
PseUI: Pseudouridine sites identification based on RNA sequence information
J He, T Fang, Z Zhang, B Huang, X Zhu, Y Xiong
BMC bioinformatics 19 (1), 1-11, 2018
PDC-SGB: Prediction of effective drug combinations using a stochastic gradient boosting algorithm
Q Xu, Y Xiong, H Dai, KM Kumari, Q Xu, HY Ou, DQ Wei
Journal of theoretical biology 417, 1-7, 2017
NetGO: improving large-scale protein function prediction with massive network information
R You, S Yao, Y Xiong, X Huang, F Sun, H Mamitsuka, S Zhu
Nucleic acids research 47 (W1), W379-W387, 2019
Protein-protein interface hot spots prediction based on a hybrid feature selection strategy
Y Qiao, Y Xiong, H Gao, X Zhu, P Chen
BMC bioinformatics 19 (1), 1-16, 2018
An accurate feature-based method for identifying DNA-binding residues on protein surfaces
Y Xiong, J Liu, DQ Wei
Proteins: Structure, Function, and Bioinformatics 79 (2), 509-17, 2010
A proteomic strategy for global analysis of plant protein complexes
UK Aryal, Y Xiong, Z McBride, D Kihara, J Xie, MC Hall, DB Szymanski
The Plant Cell 26 (10), 3867-3882, 2014
Regulator of calcineurin 1 gene isoform 4, down-regulated in hepatocellular carcinoma, prevents proliferation, migration, and invasive activity of cancer cells and metastasis …
H Jin, C Wang, G Jin, H Ruan, D Gu, L Wei, H Wang, N Wang, ...
Gastroenterology 153 (3), 799-811. e33, 2017
Computational prediction of conformational B-cell epitopes from antigen primary structures by ensemble learning
W Zhang, Y Niu, Y Xiong, M Zhao, R Yu, J Liu
Public Library of Science 7 (8), e43575, 2012
Large-scale binding ligand prediction by improved patch-based method Patch-Surfer2. 0
X Zhu, Y Xiong, D Kihara
Bioinformatics 31 (5), 707-713, 2015
A transformer-based model to predict peptide–HLA class I binding and optimize mutated peptides for vaccine design
Y Chu, Y Zhang, Q Wang, L Zhang, X Wang, Y Wang, DR Salahub, Q Xu, ...
Nature Machine Intelligence 4 (3), 300-311, 2022
DTI-MLCD: predicting drug-target interactions using multi-label learning with community detection method
Y Chu, X Shan, T Chen, M Jiang, Y Wang, Q Wang, DR Salahub, Y Xiong, ...
Briefings in bioinformatics 22 (3), bbaa205, 2021
Prediction of CYP450 enzyme–substrate selectivity based on the network-based label space division method
X Shan, X Wang, C Li, Y Chu, Y Zhang, YI Xiong, DQ Wei
Journal of chemical information and modeling 59 (11), 4577-4586, 2019
MDF-SA-DDI: predicting drug–drug interaction events based on multi-source drug fusion, multi-source feature fusion and transformer self-attention mechanism
S Lin, Y Wang, L Zhang, Y Chu, Y Liu, Y Fang, M Jiang, Q Wang, B Zhao, ...
Briefings in Bioinformatics 23 (1), bbab421, 2022
NetGO 2.0: improving large-scale protein function prediction with massive sequence, text, domain, family and network information
S Yao, R You, S Wang, Y Xiong, X Huang, S Zhu
Nucleic acids research 49 (W1), W469-W475, 2021
A comprehensive comparison and analysis of computational predictors for RNA N6-methyladenosine sites of Saccharomyces cerevisiae
X Zhu, J He, S Zhao, W Tao, Y Xiong, S Bi
Briefings in Functional Genomics 18 (6), 367-376, 2019
RNAm5CPred: prediction of RNA 5-methylcytosine sites based on three different kinds of nucleotide composition
T Fang, Z Zhang, R Sun, L Zhu, J He, B Huang, Y Xiong, X Zhu
Molecular Therapy-Nucleic Acids 18, 739-747, 2019
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